Skip to content

Actions: NVIDIA/TransformerEngine

Actions

TE-CI Trigger

Actions

Loading...
Loading

Show workflow options

Create status badge

Loading
trigger-ci.yml
4,309 workflow runs
4,309 workflow runs

Filter by Event

Filter by Status

Filter by Branch

Filter by Actor

Add multi-precision training support to FSDP script TE-CI Trigger #8716: Issue comment #2662 (comment) created by greptile-apps bot
2s
2s
Add multi-precision training support to FSDP script TE-CI Trigger #8715: Issue comment #2662 (comment) created by greptile-apps bot
1s
1s
Add multi-precision training support to FSDP script TE-CI Trigger #8714: Issue comment #2662 (comment) created by greptile-apps bot
1s
1s
[JAX] Integrate BF16 Grouped GEMM with on-device group sizes TE-CI Trigger #8713: Issue comment #2680 (comment) created by greptile-apps bot
1s
1s
Add fused_adam, quantized_model_init, and fsdp2 example TE-CI Trigger #8712: Issue comment #2698 (comment) created by greptile-apps bot
2s
2s
Add DCP compatibility for FSDP2-TP sharding in TransformerEngine. TE-CI Trigger #8711: Issue comment #2713 (comment) created by greptile-apps bot
2s
2s
[PyTorch] Introduce quantizer roles TE-CI Trigger #8710: Issue comment #2620 (comment) created by greptile-apps bot
2s
2s
Add multi-precision training support to FSDP script TE-CI Trigger #8709: Issue comment #2662 (comment) created by greptile-apps bot
6s
6s
Add multi-precision training support to FSDP script TE-CI Trigger #8708: Issue comment #2662 (comment) created by aagallo
2s
2s
[PyTorch] Introduce quantizer roles TE-CI Trigger #8707: Issue comment #2620 (comment) created by greptile-apps bot
2s
2s
[PyTorch] Introduce quantizer roles TE-CI Trigger #8706: Issue comment #2620 (comment) created by greptile-apps bot
2s
2s
[JAX] GSPMD Deprecation Warning - Only trigger when the primitive is invoked TE-CI Trigger #8705: Issue comment #2729 (comment) created by phu0ngng
2s
2s
[PyTorch] Introduce quantizer roles TE-CI Trigger #8704: Issue comment #2620 (comment) created by greptile-apps bot
2s
2s
GroupedGemm: NVFP4 via cuBLAS TE-CI Trigger #8703: Issue comment #2455 (comment) created by CodersAcademy006
1s
1s
[PyTorch debug] Fix issue with tp_group=None TE-CI Trigger #8702: Issue comment #2733 (comment) created by greptile-apps bot
2s
2s
[PyTorch debug] Fix issue with tp_group=None TE-CI Trigger #8701: Issue comment #2733 (comment) created by pggPL
3m 27s
3m 27s
[JAX] Expose sigmoid GLU activation type TE-CI Trigger #8700: Issue comment #2687 (comment) created by CodersAcademy006
2s
2s
[NVFP4][Dense/MoE] Integrate Cutlass NVFP4 Row-Cast-Col-RHT-Transpose-Cast Fusion Kernel TE-CI Trigger #8699: Issue comment #2555 (comment) created by greptile-apps bot
1s
1s
[Draft] Newton-Schulz via cuSOLVERMp TE-CI Trigger #8698: Issue comment #2706 (comment) created by greptile-apps bot
2s
2s
Feature/unswizzle TE-CI Trigger #8697: Issue comment #2732 (comment) created by greptile-apps bot
2s
2s
[PyTorch] Support single parameter for GroupedLinear TE-CI Trigger #8696: Issue comment #2731 (comment) created by ksivaman
3m 32s
3m 32s
Add multi-precision training support to FSDP script TE-CI Trigger #8695: Issue comment #2662 (comment) created by aagallo
2s
2s
[Draft] Newton-Schulz via cuSOLVERMp TE-CI Trigger #8694: Issue comment #2706 (comment) created by greptile-apps bot
1s
1s
[PyTorch] Support single parameter for GroupedLinear TE-CI Trigger #8693: Issue comment #2731 (comment) created by greptile-apps bot
1s
1s
[PyTorch] Support single parameter for GroupedLinear TE-CI Trigger #8692: Issue comment #2731 (comment) created by ksivaman
3m 31s
3m 31s